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Tehran stock price modeling and forecasting using support vector regression (SVR) and its comparison with the classic model ARIMA
Hajibabaei, Saeed; Hajibabaei, Nematollah; Hosseini, … - In: Iranian economic review : journal of University of Tehran 18 (2014) 2, pp. 105-130
Persistent link: https://www.econbiz.de/10011455426
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Pre- and within-season attendance forecasting in Major League Baseball : a random forest approach
Mueller, Steffen Q. - In: Applied economics 52 (2020) 41, pp. 4512-4528
Persistent link: https://www.econbiz.de/10012259077
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Forecasting the US real house price index
Plakandaras, Vasilios; Gupta, Rangan; Gkonkas, Periklēs; … - In: Economic modelling 45 (2015), pp. 259-267
Persistent link: https://www.econbiz.de/10011334082
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Forecasting energy markets using support vector machines
Papadimitriou, Theophilos; Gkonkas, Periklēs; … - In: Energy economics 44 (2014), pp. 135-142
Persistent link: https://www.econbiz.de/10010457232
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Reducing complexity in multivariate electricity price forecasting
Kohrs, Hendrik; Auer, Benjamin R.; Schuhmacher, Frank - In: International journal of energy sector management 16 (2022) 1, pp. 21-49
Persistent link: https://www.econbiz.de/10012797670
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Using polls to forecast popular vote share for US presidential elections 2016 and 2020 : an optimal forecast combination based on ensemble empirical model
Easaw, Joshy Z.; Fang, Yongmei; Heravi, Saeed M. - 2021
This study introduces the Ensemble Empirical Mode Decomposition (EEMD) technique to forecasting popular vote share. The technique is useful when using polling data, which is pertinent when none of the main candidates is the incumbent. Our main interest in this study is the short- and long-term...
Persistent link: https://www.econbiz.de/10013177191
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Gold against the machine
Plakandaras, Vasilios; Gkonkas, Periklēs; … - In: Computational economics 57 (2021) 1, pp. 5-28
Persistent link: https://www.econbiz.de/10012486908
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Forecasting S&P 500 spikes : an SVM approach
Papadimitriou, Theophilos; Gkonkas, Periklēs; … - In: Digital finance : smart data analytics, investment … 2 (2020) 3/4, pp. 241-258
Persistent link: https://www.econbiz.de/10012416301
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An ICA-based support vector regression scheme for forecasting crude oil prices
Fan, Liwei; Pan, Sijia; Li, Zimin; Li, Huiping - In: Technological forecasting & social change : an … 112 (2016), pp. 245-253
Persistent link: https://www.econbiz.de/10011612663
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A novel multiscale nonlinear ensemble leaning paradigm for carbon price forecasting
Zhu, Bangzhu; Ye, Shunxin; Wang, Ping; He, Kaijian; … - In: Energy economics 70 (2018), pp. 143-157
Persistent link: https://www.econbiz.de/10011942668